Accurate Molecular Classification of Human Cancers Based on Gene Expression Using a Simple Classifier with a Pathological Tree-Based Framework

Recent studies suggest accurate prediction of tissue of origin for human cancers can be achieved by applying sophisticated statistical learning procedures to gene expression data obtained from DNA microarrays. We have pursued the hypothesis that a more straightforward and equally accurate strategy f...

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Detalhes bibliográficos
Main Authors: Shedden, Kerby A., Taylor, Jeremy M. G., Giordano, Thomas J., Kuick, Rork, Misek, David E., Rennert, Gad, Schwartz, Donald R., Gruber, Stephen B., Logsdon, Craig, Simeone, Diane, Kardia, Sharon L. R., Greenson, Joel K., Cho, Kathleen R., Beer, David G., Fearon, Eric R., Hanash, Samir
Formato: Artigo
Idioma:Inglês
Publicado em: American Society for Investigative Pathology 2003
Assuntos:
Regular Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1892445/
https://ncbi.nlm.nih.gov/pubmed/14578198
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